Client computing device health-related suggestions
First Claim
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1. A client computing device for providing a health-related suggestion, comprising:
- a processor; and
an electronic personal assistant application program executable by the processor, the personal assistant application program configured to;
capture user data associated with user activities of a user across a plurality of computer programs;
send the user data to a personal assistant user data interpretation engine to determine one or more predetermined context triggers for delivery of the health-related suggestion to the client computing device of the user by application of a machine learning algorithm to the user data;
receive, from a remote computing device over a communications network, the health-related suggestion that is based on at least a subset of the user data and anonymized statistics of a user population retrieved from an aggregated knowledge base, wherein delivery of the health-related suggestion by the remote computing device is triggered by detection of an occurrence of a predetermined context trigger of the one or more predetermined context triggers;
based on the health-related suggestion, generate instructions for controlling an electronic drug delivery device to dispense an adjusted amount of a therapeutic agent, wherein the processor determines the adjusted amount of the therapeutic agent based at least on the anonymized statistics of the user population retrieved from the aggregated knowledge base; and
transmit the instructions to the electronic drug delivery device to dispense the adjusted amount of the therapeutic agent.
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Abstract
A client computing device is disclosed that comprises a processor and an electronic personal assistant application program. The personal assistant application program may be configured to capture user data associated with user activities across a plurality of computer programs. The user data may be sent to a personal assistant user data interpretation engine. A health-related suggestion based on at least a subset of the user data and anonymized statistics of a user population retrieved from an aggregated knowledge base may be received. The health-related suggestion may be displayed on a display associated with the client computing device.
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Citations
19 Claims
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1. A client computing device for providing a health-related suggestion, comprising:
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a processor; and an electronic personal assistant application program executable by the processor, the personal assistant application program configured to; capture user data associated with user activities of a user across a plurality of computer programs; send the user data to a personal assistant user data interpretation engine to determine one or more predetermined context triggers for delivery of the health-related suggestion to the client computing device of the user by application of a machine learning algorithm to the user data; receive, from a remote computing device over a communications network, the health-related suggestion that is based on at least a subset of the user data and anonymized statistics of a user population retrieved from an aggregated knowledge base, wherein delivery of the health-related suggestion by the remote computing device is triggered by detection of an occurrence of a predetermined context trigger of the one or more predetermined context triggers; based on the health-related suggestion, generate instructions for controlling an electronic drug delivery device to dispense an adjusted amount of a therapeutic agent, wherein the processor determines the adjusted amount of the therapeutic agent based at least on the anonymized statistics of the user population retrieved from the aggregated knowledge base; and transmit the instructions to the electronic drug delivery device to dispense the adjusted amount of the therapeutic agent. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method enacted at a remote computing device for providing a health-related suggestion, comprising:
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receiving from a client computing device over a communications network user data associated with user activities of a user across a plurality of computer programs; retrieving anonymized statistics of a user population from one or more aggregated knowledge bases; determining the health-related suggestion based on at least a subset of the user data and the anonymized statistics of the user population; using a machine learning algorithm to determine a predetermined context trigger associated with the user of the client computing device for delivery of the health-related suggestion to the client computing device of the user; and upon detection of an occurrence of the predetermined context trigger, sending the health-related suggestion to the client computing device, thereby causing the client computing device to; based on the health-related suggestion, generate instructions for controlling an electronic drug delivery device to dispense an adjusted amount of a therapeutic agent, wherein the adjusted amount of the therapeutic agent is determined based at least on the anonymized statistics of the user population retrieved from the aggregated knowledge base, and transmit the instructions to the electronic drug delivery device to dispense the adjusted amount of the therapeutic agent. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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19. A client computing device for providing a health-related suggestion, comprising:
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a processor; and an electronic personal assistant application program executable by the processor, the personal assistant application program configured to; capture user data associated with user activities of a user across a plurality of computer programs; send the user data to a personal assistant user data interpretation engine to determine one or more predetermined context triggers for delivery of the health-related suggestion to the client computing device of the user by application of a machine learning algorithm to the user data; receive, from a remote computing device over a communications network, the health-related suggestion that is based on at least a subset of the user data and anonymized statistics of a user population retrieved from an aggregated knowledge base, wherein the anonymized statistics of the user population are processed by the machine learning algorithm to apply weightings and rank a plurality of health-related suggestions comprising the health-related suggestion, wherein delivery of the health-related suggestion by the remote computing device is triggered by detection of an occurrence of a predetermined context trigger of the one or more predetermined context triggers; based on the health-related suggestion, generate instructions for controlling an electronic drug delivery device to dispense an adjusted amount of a therapeutic agent, wherein the processor determines the adjusted amount of the therapeutic agent based at least on the anonymized statistics of the user population retrieved from the aggregated knowledge base; and transmit the instructions to the electronic drug delivery device to dispense the adjusted amount of the therapeutic agent.
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Specification